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Practical Based Learning Module
Data Science Certification Program
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Establish a strong foundation with core principles and fundamental knowledge.
This course module introduces learners to basic programming concepts, including variables, data types, control structures, and functions. It covers topics such as data types, variables, operators, loops, conditionals, and functions, along with practical programming examples and exercises.
The course module immerses learners in Python programming, guiding them through the use of various Python data science libraries to perform critical tasks such as mathematical computations and data manipulation. Additionally, it covers data visualization techniques using Python.
This module introduces learners to SQL programming, covering essential techniques for querying databases and creating datasets for data analysis. You will learn how to write efficient SQL queries, manipulate data, and prepare it for comprehensive analysis. By the end of this course, you will have the skills to interact with databases and perform data extraction and transformation tasks proficiently.
This module offers a comprehensive introduction to machine learning, detailing how various algorithms function and their applications. You will explore model optimization and tuning techniques, gaining insights into how organizations leverage machine learning to address challenges and drive growth.
This module introduces learners to the fundamentals of statistics, focusing on how to review, analyze, and interpret data effectively. You will apply mathematical models to relevant variables, enhancing your ability to draw meaningful conclusions and conduct robust data analysis.